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Evaluating the Impact of Entrance Awards on Yield Rates Using Machine Learning
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Alexander A. Ondrus; Ashmita De – Strategic Enrollment Management Quarterly, 2025
Entrance awards are financial incentives offered to admitted students at or near the time of admission. These awards are a frequently used tool to enhance yield rates among post-secondary institutions, sometimes among specifically-targeted populations. The impacts of these awards have been studied in many different contexts, using a variety of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Incentives, Awards
Employing Machine Learning to Predict Medical Trainees' Psychophysiological Responses and Self- and Socially-Shared Regulated Learning Strategies While Completing Medical Simulations
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Matthew Moreno; Keerat Grewal; Maria Cutumisu; Jason M. Harley – Educational Psychology Review, 2025
Medical simulations allow medical trainees to work within teams to develop their self-regulated learning (SRL) and socially shared regulated learning (SSRL) skills. These skills are imperative in optimizing performance and teamwork and could be reflected in physiological responses given by learners. This study examines how medical trainees'…
Descriptors: Artificial Intelligence, Technology Uses in Education, Prediction, Algorithms
Employing Machine Learning to Predict Medical Trainees' Psychophysiological Responses and Self- and Socially-Shared Regulated Learning Strategies While Completing Medical Simulations
Peer reviewed Peer reviewed
Direct linkDirect link
Matthew Moreno; Keerat Grewal; Maria Cutumisu; Jason M. Harley – Educational Psychology Review, 2025
Medical simulations allow medical trainees to work within teams to develop their self-regulated learning (SRL) and socially shared regulated learning (SSRL) skills. These skills are imperative in optimizing performance and teamwork and could be reflected in physiological responses given by learners. This study examines how medical trainees'…
Descriptors: Artificial Intelligence, Technology Uses in Education, Prediction, Algorithms
Informing Algorithmic Literacy through User Folk Theories
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Michael Ridley – College & Research Libraries, 2024
As part of a broader information literacy agenda, academic libraries are interested in advancing algorithmic literacy. Folk theories of algorithmic decision-making systems, such as recommender systems, can provide insights into designing and delivering enhanced algorithmic literacy initiatives. Users of the Spotify music recommendation systems…
Descriptors: Foreign Countries, Academic Libraries, Information Literacy, Artificial Intelligence